Mathematical Statistics & Data Analysis

• Condition Note: no pen/pencil marks
   

About the Book:

This is the first text in a generation to re-examine the purpose of the mathematical statistics course. The book's approach interweaves traditional topics with data analysis and reflects the use of the computer with close ties to the practice of statistics. The author stresses analysis of data, examines real problems with real data, and motivates the theory. The book's descriptive statistics, graphical displays, and realistic applications stand in strong contrast to traditional texts that are set in abstract settings. Features: * Nearly 100 new problems and examples fromcontemporary high interest areas such asgenomics and financial statistics * Treatment of Bayesian inference is presentedin parallel with frequentist methods About The Author: John A. Rice, University of California, Berkeley

Table Of Contents: 1. Probability 2. Random Variables 3. Joint Distributions 4. Expected Values 5. Limit Theorems 6. Distributions Derived from the NormalDistribution 7. Survey Sampling 8. Estimation Of Parameters and Fitting ofProbability Distributions 9. Testing Hypotheses and AssessingGoodness of Fit 10. Summarizing Data 11. Comparing Two Samples 12. The Analysis of Variance 13. The Analysis of Categorical Data 14. Linear Least Squares15. Decision Theory and Bayesian Inference * Appendix A. Common Distributions * Appendix B. Tables * Bibliography * Answers to Select

• Author: John Rice
• Publisher: Cengage Learning
• Language: English
• Format: Paperback
• ISBN: 9788131505878